Line efficiency and throughput

Real-time detection of micro-stops, drift, and changeover inefficiencies. Keep high-speed lines running at target OEE without manual monitoring or reactive intervention.

Quality and food safety

AI vision and thermal monitoring ensure consistent sanitation, packaging integrity, and defect-free output across every shift and SKU—without slowing the line.

Asset reliability

Predict equipment failures before they happen on fillers, sealers, pasteurizers, and conveyors—reducing unplanned downtime and eliminating emergency maintenance cycles.

Energy and resource costs

Optimize CIP/SIP cycles, reduce thermal variability, and cut water, energy, and chemical use without compromising compliance or throughput targets.

Fragmented operational data

IRIS Foundry unifies MES, SCADA, historians, line sensors, and utility data into one governed, real-time operational picture across all sites and lines.

Skills gaps and workforce

AI copilots and AR-enabled work instructions put expert knowledge in the hands of every operator—reducing training burden and accelerating ramp-up for new hires.

CIP/SIP optimization

Intelligently automate and optimize cleaning cycles to reduce downtime, lower utility costs, and ensure consistent sanitation—all while maintaining peak operational efficiency.

Production scheduling and multi-plant line management

AI-powered production management integrates real-time operational data across multiple plants—optimizing run sequences, reducing changeover waste, and keeping every line on schedule across SKUs and shifts.

AI vision for packaging quality, defect detection, and seaming integrity

Deploy AI-powered vision systems to catch defects, packaging jams, and seam issues in real time—guaranteeing product integrity and reducing waste at line speed.

Predictive maintenance for beverage production assets

Predict failures and schedule maintenance before breakdowns occur, using unified machine health intelligence and remaining useful life (RUL) modeling across all critical assets—fillers, pasteurizers, conveyors, and sealers.

Thermal process stability and beverage quality optimization

Maintain perfect pasteurization and ingredient dosing with AI-driven process control—stabilizing thermal cycles, forecasting drift, and ensuring beverage quality, safety, and regulatory compliance every batch.

Energy and resource optimization

AI-driven monitoring of CIP processes and utility consumption identifies waste in real time—significantly reducing water, energy, and chemical use across manufacturing operations while maintaining throughput and compliance.

Root cause analysis and downtime reduction

AI-powered root cause analysis uses deep learning and generative AI to identify the source of production events and quality deviations in real time—cutting mean time to resolution and reducing unplanned downtime by up to 40%.

Digital twin and 3D simulation

Model your entire plant—including brewing, thermal processing, canning, and packaging—with digital twins for throughput simulation, layout validation, and SKU/shift scenario planning.

Need a different app? Build it with IRIS Forge.

IRIS Forge turns your operational requirements into production-ready AI applications in hours—no custom code, no long development cycles. If the use case you need isn’t listed here, it’s one prompt away.